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Weekly Two-Stage Robust Generation Scheduling for Hydrothermal Power Systems

As compared to short-term forecasting (e.g., 1 day), it is often challenging to accurately forecast the volume of precipitation in a medium-term horizon (e.g., 1 week). As a result, fluctuations in water inflow can trigger generation shortage and electricity price spikes in a power system with major or predominant hydro resources. In this paper, we study a two-stage robust scheduling approach for a hydrothermal power system. We consider water inflow uncertainty and employ a vector autoregressive (VAR) model to represent its seasonality and accordingly construct an uncertainty set in the robust optimization approach. We design a Benders' decomposition algorithm to solve this problem. Results are presented for the proposed approach on a real-world case study.

Identiferoai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/622668
Date11 1900
CreatorsDashti, Hossein, Conejo, Antonio J., Jiang, Ruiwei, Wang, Jianhui
ContributorsDepartment of Systems and Industrial Engineering, University of Arizona, Tucson
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Source SetsUniversity of Arizona
LanguageEnglish
Detected LanguageEnglish
TypeArticle
RightsU.S. Government work not protected by U.S. copyright.
Relationhttp://ieeexplore.ieee.org/document/7377128/

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